GRADUATE STUDENTS FOR FALL 2014 (or later): Several topics in optimization. I am looking
for original thinkers who have a good knowledge of optimization algorithms and
skills in software development (especially experience with parallel or
concurrent algorithms). Preference for domestic applicants, though foreign
applicants with strong records may apply.
algorithms and software. Faster and more
effective algorithms and software for nonlinear, mixed-integer, and linear
infeasibility in optimization. Ways of
reaching a feasible solution more quickly for nonlinear and mixed-integer
programs, and of analyzing infeasible optimization models. Spin-off
applications from algorithms for analyzing infeasibility.
formulation assistants. Automated tools
for analyzing and debugging optimization models. For example, one
tool analyzes the shape of nonlinear functions and regions to help select
the correct solver.
optimization. Examples include transistor sizing,
DSP task-to-processor assignment, flexible manufacturing systems,
forestry, scheduling, task assignment in cloud computing, channel
assignment in wireless networks, 3G communications optimization.
Data classifiers. A new approach for finding good data classifiers arises
from an infeasibility analysis algorithm. What is the best way to
use this to develop better data classifiers?